SURAYYA THASNIM A T

This program provided hands-on training in data analysis, machine learning, and AI-driven decision-making. I gained proficiency in Python, SQL, Excel, Tableau, and Power BI, and developed skills in data cleaning, EDA, regression, classification, clustering, and time series analysis. The course emphasized real-world applications, including dashboard creation, predictive modeling, and prompt engineering. I completed several projects during the course, which are available on my GitHub: https://github.com/sur2002

During my Master’s in Economics, I conducted a research project analyzing how consumers make purchasing decisions regarding environmentally friendly products. The study involved statistical analysis using SPSS and Excel, with detailed documentation and reporting in MS Word. I applied hypothesis testing and survey-based data analysis to identify key factors influencing green product adoption. I had the honor of presenting my paper at a national seminar, where it was well received for its relevance to sustainable consumer trends and data-driven insights.

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